The variance-gamma ratio distribution

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Abstract

Let X and Y be independent variance-gamma random variables with zero location parameter; then the exact probability density function of the ratio X/Y is derived. Some basic distributional properties are also derived, including identification of parameter regimes under which the density is bounded, asymptotic approximations of tail probabilities, and fractional moments; in particular, we see that the mean is undefined. In the case that X and Y are independent symmetric variance-gamma random variables, an exact formula is also given for the cumulative distribution function of the ratio X/Y.
Original languageEnglish
Pages (from-to)1151-1161
Number of pages11
JournalAcadémie des Sciences. Comptes Rendus. Mathématique
Volume361
Early online date24 Oct 2023
DOIs
Publication statusPublished - 24 Oct 2023

Keywords

  • Variance-gamma distribution
  • ratio distribution
  • product of correlated normal random variables
  • hypergeometric function
  • Meijer G-function

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